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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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RNA Analysis Enables Resolution and Reclassification of Reportedly Benign Synonymous Variants
Adina Fuchs1,2, Inbar Kobal2,3, Dov Popper1
1Department of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Clinical Genetics
|May 22, 2025
Summary
Synonymous genetic variants can alter RNA splicing, affecting protein function. RNA studies reclassified two "likely benign" variants to "likely pathogenic," improving patient diagnosis and treatment.
Area of Science:
- Genetics
- Molecular Biology
- Bioinformatics
Background:
- Synonymous variants, previously considered neutral, can impact RNA processing and protein function.
- Accurate variant classification is crucial for clinical diagnosis and treatment strategies.
- Exome sequencing identifies variants, but functional validation, especially RNA splicing, is often needed.
Purpose of the Study:
- To investigate the functional impact of synonymous variants on RNA splicing.
- To re-evaluate the clinical significance of variants initially classified as "likely benign."
- To emphasize the importance of RNA-based testing in variant interpretation.
Main Methods:
- Exome sequencing to detect synonymous variants.
- Segregation analysis within families to correlate variants with phenotypes.
- RNA studies (e.g., RT-PCR) to detect splicing alterations like exon skipping.
Main Results:
- Three synonymous variants in LARS1, POLE, and COL2A1 were identified.
- Two variants, initially "likely benign" in ClinVar, showed significant exon skipping.
- Segregation analysis confirmed the association of variants with disease phenotypes.
- Reclassification of variants to "likely pathogenic" based on RNA splicing defects.
Conclusions:
- Synonymous variants can act as pathogenic variants by disrupting RNA splicing.
- RNA-based functional studies are essential for accurate variant classification and clinical management.
- Integrating RNA analysis improves diagnostic yield and therapeutic decision-making for genetic disorders.
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